Triple

T214298
Position Surface form Disambiguated ID Type / Status
Subject MARC standards E4784 entity
Predicate hasComponent P35 FINISHED
Object UKMARC
UKMARC is a national variant of the MARC bibliographic cataloging format that was developed for use by libraries in the United Kingdom.
 E4784 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: UKMARC | Statement: [MARC standards, hasComponent, UKMARC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UKMARC
Context triple: [MARC standards, hasComponent, UKMARC]
  • A. MARC
    MARC is a commuter rail service in Maryland that connects Washington, D.C. with Baltimore and other regional destinations.
  • B. MARC standards
    MARC standards are a set of bibliographic data formats used worldwide to structure and exchange library catalog information in a consistent, machine-readable way.
  • C. Library of Congress Subject Headings
    Library of Congress Subject Headings is a comprehensive controlled vocabulary used by libraries worldwide to provide standardized subject access to cataloged materials.
  • D. BIBFRAME
    BIBFRAME (Bibliographic Framework) is a linked data model and standard developed by the Library of Congress to replace MARC for describing and sharing bibliographic information on the web.
  • E. Library of Congress Classification
    Library of Congress Classification is a comprehensive alphanumeric library classification system used primarily by academic and research libraries to organize and arrange their collections by subject.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: UKMARC
Triple: [MARC standards, hasComponent, UKMARC]
Generated description
UKMARC is a national variant of the MARC bibliographic cataloging format that was developed for use by libraries in the United Kingdom.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UKMARC
Target entity description: UKMARC is a national variant of the MARC bibliographic cataloging format that was developed for use by libraries in the United Kingdom.
  • A. MARC
    MARC is a commuter rail service in Maryland that connects Washington, D.C. with Baltimore and other regional destinations.
  • B. MARC standards chosen
    MARC standards are a set of bibliographic data formats used worldwide to structure and exchange library catalog information in a consistent, machine-readable way.
  • C. Library of Congress Subject Headings
    Library of Congress Subject Headings is a comprehensive controlled vocabulary used by libraries worldwide to provide standardized subject access to cataloged materials.
  • D. BIBFRAME
    BIBFRAME (Bibliographic Framework) is a linked data model and standard developed by the Library of Congress to replace MARC for describing and sharing bibliographic information on the web.
  • E. Library of Congress Classification
    Library of Congress Classification is a comprehensive alphanumeric library classification system used primarily by academic and research libraries to organize and arrange their collections by subject.
  • F. None of above.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a2575cb1dc8190a01ad332426dc339 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c32ae208190a03d504ef43ea659 completed Feb. 28, 2026, 3:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69a34d935eb48190a6f327ae77917d2c completed Feb. 28, 2026, 8:18 p.m.
NEDg Description generation batch_69a34e06b8488190b361506c261baab6 completed Feb. 28, 2026, 8:20 p.m.
NED2 Entity disambiguation (via description) batch_69a34e63883c81908aa5d8d907c37720 completed Feb. 28, 2026, 8:21 p.m.
Created at: Feb. 28, 2026, 2:52 a.m.